This is a matlab implementation of our AAAI 2018 paper:
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. AAAI 2018: 515-522
If you use our code, please cite our with the following bibtex code :
@inproceedings{Yang2018FromCT,
title={From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions},
author={Zhiyong Yang and Qianqian Xu and Xiaochun Cao and Qingming Huang},
booktitle={AAAI},
year={2018}
}
We would like to thank Dr. Jiayu Zhou for providing the MALSAR package
| Parameters | Discription |
|---|---|
| X | A cell with scale num_t * num_u, where num_t is the number of attributes, and num_u represents the number of annotaters for each attribute.Each element of X (X{i,j}) is an input feature matrix with scale num_sample * num_feature. |
| Y | A cell with scale num_t * num_u, where num_t is the number of attributes, and num_u represents the number of annotaters for each attribute.Each Y (Y{i,j}) is an input label vector with scale num_sample * 1. |
| lambda1 | see the objective function |
| lambda2 | see the objective function |
| lambda3 | see the objective function |
| opts | The same as MALSAR |
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